Job Description Data Engineer - Data Analyst Returnship (On-site - Erlanger, KY) The Data Engineer / Data Analyst will join a team passionate about engineering data solutions to inform business decisions and transform business performance. ADM's environment continuously integrating and deploying data products and analytics driving business value. The Data Engineer is responsible for delivery, adherence to standards, and mentoring junior team members. The Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.Have you taken a career break and had your resume rejected because of a gap in your work history?ADM is offering a 12 week paid returnship from September 2024 - December 2024 for experienced professionals ready to return to the workforce.If you have taken a break of at least 2 years, we welcome you to apply. Career break reasons may include but are not limited to: Starting or raising a familyMilitary Service / military spouseCommunity service / volunteer workCaring for a family memberEntrepreneurship What You'll Do:Responsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data scienceResponsible to teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performance Responsible to design, and integrate fault tolerance and enhancements into data pipelines to improve quality and performancePerform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs Mentor more junior Data Engineers Who We're Looking For:Bachelor's or Master's degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.3+ years proven Data Engineering experienceDemonstrated experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systemsDemonstrated experience with Azure DevOps, GitHub, CI/CDDemonstrated experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouseDemonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-basedDemonstrated experience with data warehousing concepts and agile methodology Demonstrated experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasetsDemonstrates continuous learning to upskill data engineering techniques and business acumenExcited about this role but don't meet every requirement listed? Studies show that often applicants will self-select out if they don't check every box. We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.

Our client is currently seeking a GIS Data Analyst - VOpen to Basking Ridge, NJ and Alpharetta GA locations******Working model: Hybrid- No set schedule for in office attendance but this could changewe run a world-class Engineering organization and as a part of the Engineering Program Office that manages large capital programs using state of the art analytics seek to improve the capital planning and management processes, enhancing systems, realigning the organization, and adding opportunities for personal skill-building and professional growth. We have an opening for a talented and experienced data analysts with strong story-telling abilities. Candidate must be proficient in SQL and have demonstrated strength with data visualization through Tableau. They must have strong analytical skills as well as the ability to communicate a story from data and producing dashboards that lead to action.Candidate would also benefit from spatial knowledge.- The candidate must be willing to work in an interdisciplinary field, together with computer scientists, business spocs, and telecom network engineers, and will require excellent interpersonal and communication skills- Interpreting executive asks, understanding multiple data sources, models, and software tools with business line specific decision support and data analysis- Create insights leveraging large varied datasets of economic, demographic and telecom related information- Challenge existing thought processes and actively work in cross disciplinary groups and make a case using rich data and presentation- Work ahead of the curve expecting changes by designing, developing and implementing visualizations to continually improve customer understanding of dataWhat we're looking for... You'll need to have: - Bachelor's degree in Business Administration, Accounting, Finance or Economics any other related discipline or four or more years of work experience - Six or more years of relevant work experience - Experience with large-scale parallel computing in distributed environments and familiarity with GIS and spatial databases (e.g., Postgres / PostGIS, Oracle/ESRI) is preferred - Demonstrated use of Python in automation of analytics tasks - Demonstrated experience managing data in SQL and/or NoSQL databases (Postgres, Oracle, Teradata, Hadoop, Casandra, MongoDB) - Good interpersonal and communication skills. Ability to convey complex information to upper level execs - Ability to adapt to quickly changing business environments and requests that come in related to upper level executive requests - Experienced in Telecom, Cable or other network related field (Electric, Wastewater, Gas/Oil, Urban planning) - Experience with Microsoft Office Suite especially Microsoft Excel and Powerpoint and/or Google Sheets and SlidesEven better if you have: - A Master's in Management Information Systems, Computer Science, GIS - Preference will be given to candidates with programming experience in one or more programming languages (e.g., Python, JavaScript) and experience with Postgres - Experience in analysis of large spatial and non-spatial datasets - Experience with a multitude of databases in general (Oracle, Teradata) - Knowledge of R, SPSS, or SAS for statistical analysis is preferred - Strong strategic skills, with the proven ability to identify and assess key points, implications and recommendations - Experience developing business cases and determining the Total Cost of Ownership - Business analytical skills; ability to apply business logic to design techniques for desired outputs - Ability to work independently and within a team in a fast changing environment with changing priorities and changing time constraints - Ability to interpret business requests and communicate findings effectively - Capability to communicate technical findings to non-technical audiences - A strategic mindset and problem solving skills - Strong interpersonal skills and ability to multitasking - Effective communication skills - A high degree of analytical capability with the demonstrated ability to structure business case around a high-level strategic vision

Why Work for KeHE? Full-timePay Range: $58,000.00/Yr. - $85,000.00/Yr.Shift Days: , Shift Time:Benefits on Day 1Health/RxDentalVisionFlexible and health spending accounts (FSA/HSA)Supplemental life insurance401(k)Paid time offPaid sick timeShort term & long term disability coverage (STD/LTD)Employee stock ownership (ESOP)Holiday pay for company designated holidaysOverviewGood people, working with good people, for our common good.Sound good?KeHE-a natural, organic, specialty and fresh food distributor-is all about ""good"" and is growing, so there's never been a more exciting time to join our team. If you're enthusiastic about working in an environment with a people-first culture and an organization committed to good living, good food and good service, we'd love to talk to you!Primary ResponsibilitiesThe Pricing and Data Analyst will play a pivotal role in providing data analysis and developing pricing strategies and models that align with market demands and operational capabilities. This role will require an in-depth understanding of distribution, carrier rate platforms, and other analytical tools to interpret and provide pricing recommendations to leadership. As with all positions at KeHE Distributors, we expect that all actions will be consistent with KeHE's Mission, Vision, and Values.Essential FunctionsDUTIES, TASKS AND RESPONSIBILITIES:Organizes and analyzes large datasets using Excel, BI tools, and proprietary rating utilities.Ensures data integrity, performs complex calculations, and identifies patterns and inconsistencies in the data.Create and manage the EDI system for customers and carriers, ensuring smooth data exchange through transportation management systems utilization, web-based platforms/portals, and industry protocols.Interprets, formats, and manages carrier rate platforms and assessorial charge schedules to ensure that carriers meet scorecard and productivity governance requirements.Conducts thorough testing of contracts for accuracy, manages contract updates, and maintains document control.Develops pricing models and service options using advanced analytics to remain competitive and profitable.Continuous auditing and refinement of pricing models based on market feedback and operational performance.Documents existing processes and designs new process maps as needed.Thinks procedurally to improve efficiency and adapts processes to evolving business needs.Communicates complex data insights and strategic recommendations effectively to stakeholders.Builds and maintains robust relationships with internal teams and external partners to facilitate seamless implementation of strategies.Other duties and projects as assigned.SKILLS, KNOWLEDGE AND ABILITIES:Ability to communicate effectively both verbally and written.Ability to work independently and in a team environment.Ability to manage multiple tasks simultaneously.Attention to detail.Proficiency in relevant software applications, such as Microsoft Office and logistics management systems.Familiarity with various carrier rate platforms and EDI systems.Strong analytical and process-oriented skills with the ability to manage detailed tasks and projects while adhering to deadlines.Minimum Requirements, Qualifications, Additional Skills, AptitudeEDUCATION AND EXPERIENCE:Bachelor's degree in Logistics, Business Administration, or a related field.Minimum of 2 years of experience in logistics, LTL temperature-controlled transportation in a customer focused environment.Customer freight consolidation and project leadership preferred.PHYSICAL REQUIREMENTS:These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job.Requisition ID2024-23216Equal Employer Opportunity StatementKeHE Distributors provides equal employment opportunities to all employees and applicants for employment and prohibits all forms of discrimination and harassment on the basis of race, color, religion or faith, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training as well as the administration of all Human Resources and Talent Acquisition processes.

Position: Data Analyst Lead
Location: Outside of Syracuse
HYBRID ONSITE SCHEDULE/2-3 DAYS REMOTE
MUST BE US CITIZEN
Permanent/direct hire posiiton!
Quick Overview of what this team will do:
• Revenue optimization – all the reporting that goes for the enterprise, every single business line/all the markets:
• Most of the reporting and dashboards are in Power BI (at least 4 years)
• Datawarehouse is on prem, in process of migrating to Azure Cloud (would be great if they have that exp)
• SQL is a must
• Python or R are fine
• Desk Queries
• We do a lot of predictive analytics and machine learning
•• Ad hoc reinvestment and fuel optimization: data analysis and data mining based on business needs. Building new ones!
• Data bricks: experience great, Azure Synapse Analytics is great too.
• Hotel and room rates optimization
• We do labor optimization based on demand - That is across different properties, ho
• There is a l lot of ad-hoc analysis and data mining based on business needs
• Question today – What did we do good yesterday? Should be able to crunch millions of records, wide data and attributes to look for. We were soft today – Why is that? Run a report to fiure out
• New Team!
Quals:
At least six years of experience in data analytics
Definitely need SQL, R Python are fine.
Power BI is a must – at least 4 years of experience.
Should be able to deal with dax queries.
Databricks experience would be great, if not azure synapse is fine too.
Someone who in the past handled different projects among different teams or vertical.
Worked with ops, revenue, marketing.
This team supports ALL verticals in enterprise, they interact with all teams.
Should have experience with predictive analytics and machine learning – Natural language processing.
The Business Data Analyst-Lead performs routine business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data visualization and data mining. Researches best practices and supports developing the solutions and recommendations for the current business operations. May work with internal clients and external vendors to identify analytical requirements. Provide business data interpretation, produce ad hoc data and reports, performs quality assurance for data integrity and accuracy. May assist in developing or implementing systems to capture business operation information.
Duties & Responsibilities:
• In this role, you'll work on harnessing the power of data, developing algorithms, and creating predictive models to drive strategic decisions and propel the company's innovations.
• Runs daily queries within the Enterprise Data Warehouse and other databases ( Azure and Databricks).
• Uses SQL/R/PYTHON /Power BI and/or other data tools to solve business problems.
• Partner with IT to support investigation of data quality issues within the EDW (Azure Cloud).
• Employs best practices to analyze large amounts of data while maintaining intense attention to detail.
• Develops reports and presentations to support solid conclusions regarding trends and findings with an ability to explain those findings to varying audiences
• Questions established business practices and brainstorms new approaches to data analysis.
Minimum Qualifications:
• A Bachelor’s degree with STEM concentration required. MS or MBA preferred.
• Must have 4 years’ experience in Power BI.
• Must have 6+ years of experience in data analytics and reporting using SQL, R, Python and other tools.
• Must have in depth understanding of multiple functional areas, including knowledge of operational practices and P&L drivers.
• You have a proven ability with statistical methods and advanced modelling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.)
• Must have exceptional oral and written communication skills.
• Strong business acumen, customer service skills, proactive, demonstrates enthusiasm, motivation and self-confidence is essential.
• Candidate must be a self-driven individual who can work on many concurrent projects and deliver results on each.
• Ability to research issues to resolution and attention to detail are essential.
• Must maintain confidentiality.
Technical Skills (exposure to some/all of the following):
• Statistical methods and packages (e.g. Python/R)
• Business intelligence platforms (Power BI, Tableau)
• SQL databases and database querying languages2
• Data mining
• Data visualization and reporting techniques
• Machine learning techniques #J-18808-Ljbffr

Job Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. As well as a demonstrated understanding of digital signal processing, mathematics and in-depth knowledge of time series analytical expertise is required. ENSCO's Mission System Group (MSG) Division provides innovative customized products and services vital to national safety and security. A primary focus area is the development of software systems for multipurpose geophysical and other data collection, processing, and analysis. Qualifications Required (Skills) Minimum 2 years experience as a 9S100 seismic analyst in the United States Air Force. Minimum of 2 years related experience in the following: o Demonstrated experience in seismic and/or acoustic waveform analysis and experience using seismic and/or acoustic analysis software such as ARS (Analyst Review Station), Geotool/Seatools, SAC (Seismic Analysis Code) o Detailed understanding of local, regional, and teleseismic seismic phenomenology o Understanding of digital signal processing including spectral analysis o Observational ability to interpret time series waveform data, identify seismic, infrasonic, and hydroacoustic phases, distinguish signals from background noise A self-starter with excellent oral and written communication skills Experience navigating within the Linux environment Experience running programs in python, Matlab, or other scientific software Demonstrated experience with Microsoft Office (Excel, Word, PowerPoint) AN ACTIVE DOD TS/SCI CLEARANCE IS REQUIRED FOR THIS POSITION, FOR WHICH YOU MUST BE A U.S. CITIZEN. Qualifications Desired Experience working with large disparate data sets Experience Identifying long-term and short-term patterns of life Experience with data fusion analysis Experience with Magnitude, Distance, Amplitude Correction (MDAC) methodology Familiar with spatio-temporal analysis Familiar with workflow in an operational environment #LI-MM1 Division Description For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide. ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains. We foster top science and engineering talent, cultivating the ideas of our employees and customers to deliver leading-edge R&D, products, and services to create an environment where employees can tackle our customers' most difficult problems in creative ways. Learn more about ENSCO: www.ensco.com Strength in Diversity ENSCO, Inc. and its wholly owned U.S. subsidiaries are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.

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Data Analyst The Judge Group Jobs

Data Engineer Data Analyst Returnship Onsite Erlanger KyJuly 23, 2024

Gis Data Analyst VJuly 23, 2024

Trademark Pricing And Data AnalystJuly 18, 2024

Data Analyst LeadJuly 17, 2024

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Information Security Data AnalystJuly 6, 2024